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Caustics Generation by using Photon Mapping

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Caustics Generation by using Photon Mapping Presentation by Michael Kaiser and Christian Finger Advised by Dr. Marcus Magnor 13.02.2004 Light and Color in Nature Seminar, – PowerPoint PPT presentation

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Title: Caustics Generation by using Photon Mapping


1
Caustics Generation by using Photon Mapping
  • Presentation by Michael Kaiser and Christian
    Finger
  • Advised by Dr. Marcus Magnor
  • 13.02.2004
  • Light and Color in Nature Seminar,
  • Max-Planck-Institut für Informatik

2
Motivation
  • Create nice pictures with translucent objects and
    rendering nice effects on diffuse surfaces.

3
Overview
  • Caustics
  • Photon Mapping
  • Results

4
Light Transport Notation
  • L Lightsource
  • E Eye
  • S Specular reflection
  • D Diffuse reflection
  • (k) one or more k events
  • (k) zero or more of k events
  • (k)? zero or one k event
  • (kk) a k or k event

5
Caustics
  • Caustics are formed when light reflected from or
    transmitted through one or more specular surfaces
    strikes a diffuse surface.
  • In Light transport notation LSDE

6
Comparisons
  • Classical Ray Tracing
  • LD?SE
  • Does not support Caustics.
  • Path Tracing
  • L(SD)E
  • Would be qualified for simulating caustics.
  • But Probability of going through a series of
    LSDE is small.
  • Bidirectional Path Tracing
  • L(SD)E
  • Would be also qualified for simulating
    caustics.
  • Produces correct pictures, unbiased solution.
  • Takes too much time for same quality as photon
    mapping.

7
Comparisons
  • Radiosity
  • Handles only diffuse reflections LDE.
  • Not suitable for rendering caustics.
  • Photon Mapping
  • Handles all kinds of reflections.
  • It has the following possibilities L(SD)D
  • Good for Caustics.

8
2-Pass Algorithm
  • First Pass
  • Generating a Global Photon Map and Caustic Map.
  • Second Pass
  • Rendering the Photon Map via Distribution Ray
    Tracing.

9
Photon Maps
  • Global Photon Map
  • All Photons with property L(SD)D are stored.
  • Caustic Map
  • Only Photons with paths LSD are directly stored.
  • Application of a projection map.

10
Photon Mapping
  • Rendering equation is solved by a photon map.
  • Density estimation

11
Photon Mapping
  • For the rendering part incoming radiance is
    divided into four parts

Specular Illumination
Caustic Illumination
Direct Illumination
Diffuse Indirect Illumination
12
Photon Mapping


Direct Illumination
Indirect Illumination


Specular Part
13
Photon Mapping

Caustics

14
Results
15
Results
16
Results
17
Outlook
  • Rendering participating media
  • Additional Volume Photon Map.
  • Rendering Volume Caustics.

18
Literature
  • Henrik Wann Jensen, Realistic Image Synthesis
    Using Photon Mapping, A.K. Peters, 2001

19
  • Questions?
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